Discover hongyusu/SPIN Open Source project by Aalto (@hongyusu)

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The repository contains codes and some experimental data for Structured Prediction of Network Response (SPIN) algorithm, which appears in International Conference on Machine Learning (ICML 2014). The algorithm assumes a network structure as prior (e.g. Facebook) and a set of actions (e.g. posts or messages) performed on the network. Given a new action, the algorithm predicts the response network, a DAG, that indicates activated nodes and activation order.

SGNMF

NMF with graph laplacian and sparsity constraints

MATLAB

bigdata_etl

Java

sentiment_predictor

http://sentipred.heroku.com

JavaScript

L2RTA

http://hongyusu.github.io/L2RTA This repository contains RTA algorithm with improved inference algorithm for update direction finding. The RTA algorithm was originally introduced in Advances in Neural Informatics Processing System NIPS 2014. In each stochastic gradient descent iteration, the new inference algorithm aims to combine multiple updated directions. In other words, the optimal updated direction is given by a convex combination of many suboptimal update directions. Thus, the new inference algorithm avoid computing the best direction from the K-best list which was used in original RTA algorithm.

MATLAB

mmcrfmissing_scripts